{"pageNumber":"871","pageRowStart":"21750","pageSize":"25","recordCount":165505,"records":[{"id":70196688,"text":"70196688 - 2018 - The electric storm of November 1882","interactions":[],"lastModifiedDate":"2018-04-24T16:54:46","indexId":"70196688","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The electric storm of November 1882","docAbstract":"<p><span>In November 1882, an intense magnetic storm related to a large sunspot group caused widespread interference to telegraph and telephone systems and provided spectacular and unusual auroral displays. The (ring current) storm time disturbance index for this storm reached maximum −</span><i>Dst</i><span>&nbsp;≈&nbsp;386&nbsp;nT, comparable to Halloween storm of 29–31 October 2003, but from 17 to 20 November the<span>&nbsp;</span></span><i>aa</i><span><span>&nbsp;</span>midlatitude geomagnetic disturbance index averaged 214.25&nbsp;nT, the highest 4&nbsp;day level of disturbance since the beginning of<span>&nbsp;</span></span><i>aa</i><span><span>&nbsp;</span>index in 1868. This storm contributed to scientists' understanding of the reality of solar‐terrestrial interaction. Past occurrences of magnetic storms, like that of November 1882, can inform modern evaluations of the deleterious effects that a magnetic superstorm might have on technological systems of importance to society.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017SW001795","usgsCitation":"Love, J.J., 2018, The electric storm of November 1882: Space Weather, v. 16, no. 1, p. 37-46, https://doi.org/10.1002/2017SW001795.","productDescription":"10 p.","startPage":"37","endPage":"46","ipdsId":"IP-093138","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":353686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc23f","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":733973,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196877,"text":"70196877 - 2018 - Behavior and reproductive ecology of the Sicklefin Redhorse: An imperiled southern Appalachian Mountain fish","interactions":[],"lastModifiedDate":"2018-05-08T13:15:45","indexId":"70196877","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Behavior and reproductive ecology of the Sicklefin Redhorse: An imperiled southern Appalachian Mountain fish","docAbstract":"<p><span>Many nongame fishes are poorly understood but are essential to maintaining healthy aquatic ecosystems globally. The undescribed Sicklefin Redhorse&nbsp;</span><i>Moxostoma</i><span><span>&nbsp;</span>sp. is a rare, imperiled, nongame fish endemic to two southern Appalachian Mountain river basins. Little is known of its behavior and ecology, but this information is urgently needed for conservation planning. We assessed the spatial and temporal bounds of spawning migration, quantified seasonal weekly movement patterns, and characterized seasonal and spawning behavior using radiotelemetry and weir sampling in the Hiwassee River basin, North Carolina–Georgia, during 2006 and 2007. Hiwassee River tributaries were occupied predominantly during the fish's spawning season, lower reaches of the tributaries and the Hiwassee River were primarily occupied during the postspawning season (i.e., summer and fall), and lower lotic reaches of Hiwassee River (upstream from Hiwassee Lake) were occupied during winter. Adults occupied Hiwassee Lake only as a movement corridor during spawning migrations. Both sexes conducted upstream spawning migrations simultaneously, but males occupied spawning tributaries longer than females. Sicklefin Redhorse exhibited interannual spawning‐area and tributary fidelity. Cold water temperatures associated with hypolimnetic releases from reservoirs and meteorological conditions influenced spawning migration distance and timing. During 2007, decreased discharges during the spawning season were associated with decreases in migration distance and spawning tributary occupancy duration. Foraging was the dominant behavior observed annually, followed by reproductive behaviors (courting and spawning) during the spawning season. No agonistic reproductive behavior was observed, but females exhibited a repetitious postspawning digging behavior that may be unique in the family Catostomidae. Our findings suggest that protection and restoration of river continuity, natural flow regimes, seasonally appropriate water temperatures, and geographic range expansion are critical components to include in Sicklefin Redhorse conservation planning. Fisheries and ecosystem managers can use our findings to justify sensitive management decisions that conserve and restore critical streams and rivers occupied by this imperiled species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10010","usgsCitation":"Favrot, S.D., and Kwak, T.J., 2018, Behavior and reproductive ecology of the Sicklefin Redhorse: An imperiled southern Appalachian Mountain fish: Transactions of the American Fisheries Society, v. 147, no. 1, p. 204-222, https://doi.org/10.1002/tafs.10010.","productDescription":"19 p.","startPage":"204","endPage":"222","ipdsId":"IP-091271","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Hiwassee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.22393798828125,\n              34.84254924386249\n            ],\n            [\n              -83.69316101074219,\n              34.84254924386249\n            ],\n            [\n              -83.69316101074219,\n              35.184471743812225\n            ],\n            [\n              -84.22393798828125,\n              35.184471743812225\n            ],\n            [\n              -84.22393798828125,\n              34.84254924386249\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc238","contributors":{"authors":[{"text":"Favrot, Scott D.","contributorId":171445,"corporation":false,"usgs":false,"family":"Favrot","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734890,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196758,"text":"70196758 - 2018 - The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","interactions":[],"lastModifiedDate":"2022-04-22T16:23:22.833574","indexId":"70196758","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","docAbstract":"<p><span>It is important to understand how upland ecosystems of Alaska, which are estimated to occupy 84% of the state (i.e., 1,237,774&nbsp;km</span><sup>2</sup><span>), are influencing and will influence state‐wide carbon (C) dynamics in the face of ongoing climate change. We coupled fire disturbance and biogeochemical models to assess the relative effects of changing atmospheric carbon dioxide (CO</span><sub>2</sub><span>), climate, logging and fire regimes on the historical and future C balance of upland ecosystems for the four main Landscape Conservation Cooperatives (LCCs) of Alaska. At the end of the historical period (1950–2009) of our analysis, we estimate that upland ecosystems of Alaska store ~50 Pg C (with ~90% of the C in soils), and gained 3.26 Tg C/yr. Three of the LCCs had gains in total ecosystem C storage, while the Northwest Boreal LCC lost C (−6.01&nbsp;Tg C/yr) because of increases in fire activity. Carbon exports from logging affected only the North Pacific LCC and represented less than 1% of the state's net primary production (NPP). The analysis for the future time period (2010–2099) consisted of six simulations driven by climate outputs from two climate models for three emission scenarios. Across the climate scenarios, total ecosystem C storage increased between 19.5 and 66.3 Tg C/yr, which represents 3.4% to 11.7% increase in Alaska upland's storage. We conducted additional simulations to attribute these responses to environmental changes. This analysis showed that atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>fertilization was the main driver of ecosystem C balance. By comparing future simulations with constant and with increasing atmospheric CO</span><sub>2</sub><span>, we estimated that the sensitivity of NPP was 4.8% per 100 ppmv, but NPP becomes less sensitive to CO</span><sub>2</sub><span>increase throughout the 21st century. Overall, our analyses suggest that the decreasing CO</span><sub>2</sub><span><span>&nbsp;</span>sensitivity of NPP and the increasing sensitivity of heterotrophic respiration to air temperature, in addition to the increase in C loss from wildfires weakens the C sink from upland ecosystems of Alaska and will ultimately lead to a source of CO</span><sub>2</sub><span><span>&nbsp;</span>to the atmosphere beyond 2100. Therefore, we conclude that&nbsp;the increasing regional C sink we estimate for the 21st century will most likely be transitional.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1641","usgsCitation":"Genet, H., He, Y., Lyu, Z., McGuire, A.D., Zhuang, Q., Clein, J.S., D'Amore, D., Bennett, A., Breen, A., Biles, F., Euskirchen, E., Johnson, K., Kurkowski, T., Schroder, S., Pastick, N.J., Rupp, T., Wylie, B.K., Zhang, Y., Zhou, X., and Zhu, Z., 2018, The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska: Ecological Applications, v. 28, no. 1, p. 5-27, https://doi.org/10.1002/eap.1641.","productDescription":"23 p.","startPage":"5","endPage":"27","ipdsId":"IP-086525","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":353847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70188402,"text":"70188402 - 2018 - Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic","interactions":[],"lastModifiedDate":"2021-01-26T19:34:25.055032","indexId":"70188402","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Demography of the Pacific walrus (<i>Odobenus rosmarus divergens</i>) in a changing Arctic","title":"Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic","docAbstract":"<p><span>The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) is a candidate to be listed as an endangered species under United States law, in part, because of climate change‐related concerns. While the population was known to be declining in the 1980s and 1990s, its recent status has not been determined. We developed Bayesian models of walrus population dynamics to assess the population by synthesizing information on population sizes, age structures, reproductive rates, and harvests for 1974–2015. Candidate models allowed for temporal variation in some or all vital rates, as well as density dependence or density independence in reproduction and calf survival. All selected models indicated that the population underwent a multidecade decline, which began moderating in the 1990s, and that annual reproductive rate and natural calf survival rates rose over time in a density‐dependent manner. However, selected models were equivocal regarding whether the natural juvenile survival rate was constant or decreasing over time. Depending on whether juvenile survival decreased after 1998, the population growth rate either increased during 1999–2015 or stabilized at a lesser level of decline than seen in the 1980s. The probability that the population was still declining in 2015 ranged from 45% to 87%.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mms.12434","usgsCitation":"Taylor, R.L., Udevitz, M.S., Jay, C.V., Citta, J.J., Quakenbush, L.T., Lemons, P.R., and Snyder, J.A., 2018, Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic: Marine Mammal Science, v. 34, no. 1, p. 54-86, https://doi.org/10.1111/mms.12434.","productDescription":"33 p.","startPage":"54","endPage":"86","ipdsId":"IP-079010","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":438063,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79K4894","text":"USGS data release","linkHelpText":"Sex and Age Composition of Walrus Groups Hauled Out on Ice Floes in the Bering and Chukchi Seas, 2013-2015"},{"id":342285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-02","publicationStatus":"PW","scienceBaseUri":"5b98a318e4b0702d0e84302c","contributors":{"authors":[{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":697603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":697604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Citta, John J.","contributorId":175350,"corporation":false,"usgs":false,"family":"Citta","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":742393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quakenbush, Lori T.","contributorId":47262,"corporation":false,"usgs":true,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":742394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lemons, Patrick R.","contributorId":192738,"corporation":false,"usgs":false,"family":"Lemons","given":"Patrick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":742395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snyder, Jonathan A.","contributorId":54086,"corporation":false,"usgs":true,"family":"Snyder","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":742396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196984,"text":"70196984 - 2018 - What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?","interactions":[],"lastModifiedDate":"2018-05-15T16:36:21","indexId":"70196984","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?","docAbstract":"<p><span>Contemporary climate change affects nearly all biomes, causing shifts in animal distributions and resource availability. Changes in resource selection may allow individuals to offset climatic stress, thereby providing a mechanism for persistence amidst warming conditions. Whereas the role of predation risk in food choice has been studied broadly, the extent to which individuals respond to thermoregulatory risk by changing resource preferences is unclear. We addressed whether individuals compensated for temperature-related reductions in foraging time by altering forage preferences, using the American pika (</span><i class=\"EmphasisTypeItalic \">Ochotona princeps</i><span>) as a model species. We tested two hypotheses: (1) food-quality hypothesis—individuals exposed to temperature extremes should select higher-quality vegetation in return for accepting a physiologically riskier feeding situation; and (2) food-availability hypothesis—individuals exposed to temperature extremes should prioritize foraging quickly, thereby decreasing selection for higher-quality food. We quantified the composition and quality (% moisture, % nitrogen, and fiber content) of available and harvested vegetation, and deployed a network of temperature sensors to measure in situ conditions for 30 individuals, during July–Sept., 2015. Individuals exposed to more extreme daytime temperatures showed increased selection for high-nitrogen and for low-fiber vegetation, demonstrating strong support for the food-quality hypothesis. By contrast, pikas that experienced warmer conditions did not reduce selection for any of the three vegetation-quality metrics, as predicted by the food-availability hypothesis. By shifting resource-selection patterns, temperature-limited animals may be able to proximately buffer some of the negative effects associated with rapidly warming environments, provided that sufficient resources remain on the landscape.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-017-3993-2","usgsCitation":"Hall, L., and Chalfoun, A.D., 2018, What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?: Oecologia, v. 186, no. 1, p. 73-84, https://doi.org/10.1007/s00442-017-3993-2.","productDescription":"12 p.","startPage":"73","endPage":"84","ipdsId":"IP-091142","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc236","contributors":{"authors":[{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":735453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":735182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195091,"text":"70195091 - 2018 - Holy flux: Spatial and temporal variation in massive pulses of emerging insect biomass from western U.S. rivers","interactions":[],"lastModifiedDate":"2018-02-08T14:41:20","indexId":"70195091","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Holy flux: Spatial and temporal variation in massive pulses of emerging insect biomass from western U.S. rivers","docAbstract":"<p><span>The river stonefly,&nbsp;</span><i>Pteronarcys californica</i><span><span>&nbsp;</span>(aka salmonfly), is an iconic insect in rivers of western North America due to its large size and its support of economically important species like wild trout (Nehring et&nbsp;al. 2011). Their emergence generates a large economic subsidy to local communities, as anglers from around the world travel to western rivers to fish the salmonfly “hatch” (e.g., Willoughby 2013). Salmonflies, which have a 4-yr lifespan in the central Rocky Mountains (Nehring et&nbsp;al. 2011), emerge<span>&nbsp;</span></span><i>en masse</i><span><span>&nbsp;</span>during 1 week in late spring (Sheldon 1999), and more than 20 terrestrial species, including humans, are known to eat adult salmonflies (Muttkowski 1925, Sutton 1985, Rockwell et&nbsp;al. 2009). How they influence populations of insectivores or the broader river-riparian ecosystem is unknown; this itself is an issue because salmonflies are disappearing from some rivers (Nehring et&nbsp;al. 2011).</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2023","usgsCitation":"Walters, D., Wesner, J.S., Zuellig, R.E., Kowalski, D.A., and Kondratieff, M.C., 2018, Holy flux: Spatial and temporal variation in massive pulses of emerging insect biomass from western U.S. rivers: Ecology, v. 99, no. 1, p. 238-240, https://doi.org/10.1002/ecy.2023.","productDescription":"3 p.","startPage":"238","endPage":"240","ipdsId":"IP-073723","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-14","publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441ad","contributors":{"authors":[{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":726888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesner, Jeff S.","contributorId":58202,"corporation":false,"usgs":true,"family":"Wesner","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowalski, Dan A.","contributorId":201751,"corporation":false,"usgs":false,"family":"Kowalski","given":"Dan","email":"","middleInitial":"A.","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":726891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kondratieff, Matt C.","contributorId":201752,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Matt","email":"","middleInitial":"C.","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":726892,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195089,"text":"70195089 - 2018 - Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health","interactions":[],"lastModifiedDate":"2018-02-08T12:55:34","indexId":"70195089","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5622,"text":"Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health","docAbstract":"<p><span>Colony monitoring devices used to track and assess the health status of honey bees are becoming more widely available and used by both beekeepers and researchers. These devices monitor parameters relevant to colony health at frequent intervals, often approximating real time. The fine-scale record of hive condition can be further related to static or dynamic features of the landscape, such as weather, climate, colony density, land use, pesticide use, vegetation class, and forage quality. In this study, we fit commercial honey bee colonies in two apiaries with pollen traps and digital scales to monitor floral resource use, pollen quality, and honey production. One apiary was situated in low-intensity agriculture; the other in high-intensity agriculture. Pollen traps were open for 72 h every two weeks while scales recorded weight every 15 min throughout the growing season. From collected pollen, we determined forage quantity per day, species identity using DNA sequencing, pesticide residues, amino acid content, and total protein content. From scales, we determined the accumulated hive weight change over the growing season, relating to honey production and final colony weight going into winter. Hive scales may also be used to identify the occurrence of environmental pollen and nectar dearth, and track phenological changes in plant communities. We provide comparisons of device-derived data between two apiaries over the growing season and discuss the potential for employing apiary monitoring devices to infer colony health in the context of divergent agricultural land use conditions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/agriculture8010002","usgsCitation":"Smart, M., Otto, C., Cornman, R.S., and Iwanowicz, D.D., 2018, Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health: Agriculture, v. 81, no. 1, p. 1-14, https://doi.org/10.3390/agriculture8010002.","productDescription":"Article 2; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-091990","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469116,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agriculture8010002","text":"Publisher Index Page"},{"id":438062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2F4S","text":"USGS data release","linkHelpText":"Using colony monitoring devices to evaluate the impacts of land use and forage quality on honey bee health datasets"},{"id":351351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-25","publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441b4","contributors":{"authors":[{"text":"Smart, Matthew 0000-0003-0711-3035 msmart@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-3035","contributorId":174424,"corporation":false,"usgs":true,"family":"Smart","given":"Matthew","email":"msmart@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196641,"text":"70196641 - 2018 - Walleye recruitment success is less resilient to warming water temperatures in lakes with abundant largemouth bass populations","interactions":[],"lastModifiedDate":"2018-04-23T15:01:24","indexId":"70196641","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Walleye recruitment success is less resilient to warming water temperatures in lakes with abundant largemouth bass populations","docAbstract":"<p><span>Lakes respond heterogeneously to climate, with implications for fisheries management. We analyzed walleye (</span><i>Sander vitreus</i><span>) recruitment to age-0 in 359 lakes in Wisconsin, USA, to (</span><i>i</i><span>) quantify the relationship between annual water temperature degree days (DD) and walleye recruitment success and (</span><i>ii</i><span>) identify the influence of lake characteristics — area, conductivity, largemouth bass (</span><i>Micropterus salmoides</i><span>) catch rates, and mean DD — on this relationship. The relationship between walleye recruitment and annual DD varied among lakes and was not distinguishable from zero overall (posterior mean = −0.11, 90% CI = −0.34, 0.15). DD effects on recruitment were negative in 198 lakes (55%) and positive in 161 (45%). The effect of annual DD was most negative in lakes with high largemouth bass densities, and, on average, the probability of recruitment was highest in large lakes with low largemouth bass densities. Conductivity and mean DD influenced neither recruitment nor the effect of annual DD. Walleye recruitment was most resilient to warming in lakes with few largemouth bass, suggesting that the effects of climate change depend on lake-specific food-web and habitat contexts.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0249","usgsCitation":"Hansen, G.J., Midway, S.R., and Wagner, T., 2018, Walleye recruitment success is less resilient to warming water temperatures in lakes with abundant largemouth bass populations: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 1, p. 106-115, https://doi.org/10.1139/cjfas-2016-0249.","productDescription":"10 p.","startPage":"106","endPage":"115","ipdsId":"IP-076918","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461091,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0249","text":"External 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A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":733887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":733886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196079,"text":"70196079 - 2018 - Patterns and controls of mercury accumulation in sediments from three thermokarst lakes on the Arctic Coastal Plain of Alaska","interactions":[],"lastModifiedDate":"2018-03-16T15:14:15","indexId":"70196079","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and controls of mercury accumulation in sediments from three thermokarst lakes on the Arctic Coastal Plain of Alaska","docAbstract":"<p><span>The biogeochemical cycle of mercury will be influenced by climate change, particularly at higher latitudes. Investigations of historical mercury accumulation in lake sediments inform future predictions as to how climate change might affect mercury biogeochemistry; however, in regions with a paucity of data, such as the thermokarst-rich Arctic Coastal Plain of Alaska (ACP), the trajectory of mercury accumulation in lake sediments is particularly uncertain. Sediment cores from three thermokarst lakes on the ACP were analyzed to understand changes in, and drivers of, Hg accumulation over the past ~ 100&nbsp;years. Mercury accumulation in two of the three lakes was variable and high over the past century (91.96 and 78.6&nbsp;µg/m</span><sup>2</sup><span>/year), and largely controlled by sedimentation rate. Mercury accumulation in the third lake was lower (14.2&nbsp;µg/m</span><sup>2</sup><span>/year), more temporally uniform, and was more strongly related to sediment Hg concentration than sedimentation rate. Sediment mercury concentrations were quantitatively related to measures of sediment composition and VRS-inferred chlorophyll<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">a</i><span>, and sedimentation rates were related to various catchment characteristics. These results were compared to data from 37 previously studied Arctic and Alaskan lakes. Results from the meta-analysis indicate that thermokarst lakes have significantly higher and more variable Hg accumulation rates than non-thermokarst lakes, suggesting that certain properties (e.g., thermal erosion, thaw slumping, low hydraulic conductivity) likely make lakes prone to high and variable Hg accumulation rates. Differences and high variability in Hg accumulation among high latitude lakes highlight the complexity of predicting future climate-related change impacts on mercury cycling in these environments.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-017-0553-0","usgsCitation":"Burke, S.M., Zimmerman, C.E., Branfireun, B.A., Koch, J.C., and Swanson, H.K., 2018, Patterns and controls of mercury accumulation in sediments from three thermokarst lakes on the Arctic Coastal Plain of Alaska: Aquatic Sciences, v. 80, p. 1-15, https://doi.org/10.1007/s00027-017-0553-0.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-087277","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":352618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"80","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5afee753e4b0da30c1bfc251","contributors":{"authors":[{"text":"Burke, Samantha M.","contributorId":203348,"corporation":false,"usgs":false,"family":"Burke","given":"Samantha","email":"","middleInitial":"M.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":731230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":731229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Branfireun, Brian A.","contributorId":203349,"corporation":false,"usgs":false,"family":"Branfireun","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":731231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":731232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Heidi K.","contributorId":203350,"corporation":false,"usgs":false,"family":"Swanson","given":"Heidi","email":"","middleInitial":"K.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":731233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195970,"text":"70195970 - 2018 - Biogenic coal-to-methane conversion efficiency decreases after repeated organic amendment","interactions":[],"lastModifiedDate":"2018-03-19T11:03:07","indexId":"70195970","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Biogenic coal-to-methane conversion efficiency decreases after repeated organic amendment","docAbstract":"<p><span>Addition of organic amendments to coal-containing systems can increase the rate and extent of biogenic methane production for 60–80 days before production slows or stops. Understanding the effect of repeated amendment additions on the rate and extent of enhanced coal-dependent methane production is important if biological coal-to-methane conversion is to be enhanced on a commercial scale. Microalgal biomass was added at a concentration of 0.1 g/L to microcosms with and without coal on days 0, 76, and 117. Rates of methane production were enhanced after the initial amendment but coal-containing treatments produced successively decreasing amounts of methane with each amendment. During the first amendment period, 113% of carbon added as amendment was recovered as methane, whereas in the second and third amendment periods, 39% and 32% of carbon added as amendment was recovered as methane, respectively. Additionally, algae-amended coal treatments produced ∼38% more methane than unamended coal treatments and ∼180% more methane than amended coal-free treatments after one amendment. However, a second amendment addition resulted in only an ∼25% increase in methane production for coal versus noncoal treatments and a third amendment addition resulted in similar methane production in both coal and noncoal treatments. Successive amendment additions appeared to result in a shift from coal-to-methane conversion to amendment-to-methane conversion. The reported results indicate that a better understanding is needed of the potential impacts and efficiencies of repeated stimulation for enhanced coal-to-methane conversion.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.energyfuels.7b03426","usgsCitation":"Davis, K.J., Barnhart, E.P., Fields, M.W., and Gerlach, R., 2018, Biogenic coal-to-methane conversion efficiency decreases after repeated organic amendment: Energy & Fuels, v. 32, no. 3, p. 2916-2925, https://doi.org/10.1021/acs.energyfuels.7b03426.","productDescription":"10 p.","startPage":"2916","endPage":"2925","ipdsId":"IP-093109","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469130,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/14992","text":"External Repository"},{"id":352382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5afee753e4b0da30c1bfc255","contributors":{"authors":[{"text":"Davis, Katherine J.","contributorId":203246,"corporation":false,"usgs":false,"family":"Davis","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":730742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerlach, Robin","contributorId":203247,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robin","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195136,"text":"70195136 - 2018 - Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity","interactions":[],"lastModifiedDate":"2018-06-04T16:17:14","indexId":"70195136","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity","docAbstract":"<p><span>Increasing global CO</span><sub>2</sub><span><span>&nbsp;</span>and local land use changes coupled with increased nutrient pollution are threatening estuaries worldwide. Local changes of estuarine chemistry have been documented, but regional associations and trends comparing multiple estuaries latitudinally have not been evaluated. Rapid climate change has impacted the annual and decadal chemical trends in estuaries, with local ecosystem processes enhancing or mitigating the responses. Here, we compare pH, dissolved oxygen, temperature, and salinity data from 10 Florida shellfish estuaries and hundreds of shellfish bed stations. Over 80,000 measurements, spanning from 1980 to 2008, taken on Atlantic Ocean and West Florida coast showed significant regional trends of consistent pH decreases in 8 out of the 10 estuaries, with an average rate of decrease on the Gulf of Mexico side estuaries of Florida of 7.3 × 10</span><sup>−4</sup><span>&nbsp;pH units&nbsp;year</span><sup>−1</sup><span>, and average decrease on the Atlantic Coast estuaries of 5.0 × 10</span><sup>−4</sup><span>&nbsp;pH units&nbsp;year</span><sup>−1</sup><span>. The rates are approximately 2–3.4 times slower than observed in pH decreases associated with ocean acidification in the Atlantic and Pacific.&nbsp;Other significant trends observed include decreasing dissolved oxygen in 9 out of the 10 estuaries, increasing salinity in 6 out of the 10, and temperature increases in 3 out of the 10 estuaries. The data provide a synoptic regional view of Florida estuary trends which reflect the complexity of changing climate and coastal ocean acidification superimposed on local conditions. These data provide context for understanding, and interpreting the past and predicting future of regional water quality health of shellfish and other organisms of commercial and ecological significance along Florida’s coasts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0353-8","usgsCitation":"Robbins, L.L., and Lisle, J.T., 2018, Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity: Estuaries and Coasts, v. 41, no. 5, p. 1268-1281, https://doi.org/10.1007/s12237-017-0353-8.","productDescription":"14 p.","startPage":"1268","endPage":"1281","ipdsId":"IP-087185","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0353-8","text":"Publisher Index Page"},{"id":351314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e76e4b00f54eb2292f5","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195094,"text":"70195094 - 2018 - Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures","interactions":[],"lastModifiedDate":"2018-03-29T16:53:52","indexId":"70195094","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Acute and chronic toxicity of aluminum to a unionid mussel (<i>Lampsilis siliquoidea</i>) and an amphipod (<i>Hyalella azteca</i>) in water‐only exposures","title":"Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures","docAbstract":"<p><span>The US Environmental Protection Agency (USEPA) is reviewing the protectiveness of the national ambient water quality criteria (WQC) for aluminum (Al) and compiling a toxicity data set to update the WQC. Freshwater mussels are one of the most imperiled groups of animals in the world, but little is known about their sensitivity to Al. The objective of the present study was to evaluate acute 96‐h and chronic 28‐d toxicity of Al to a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>) and a commonly tested amphipod (</span><i>Hyalella azteca</i><span>) at a pH of 6 and water hardness of 100 mg/L as CaCO</span><sub>3</sub><span>. The acute 50% effect concentration (EC50) for survival of both species was &gt;6200 μg total Al/L. The EC50 was greater than all acute values in the USEPA acute Al data set for freshwater species at a pH range of 5.0 to &lt;6.5 and hardness normalized to 100 mg/L, indicating that the mussel and amphipod were insensitive to Al in acute exposures. The chronic 20% effect concentration (EC20) based on dry weight was 163 μg total Al/L for the mussel and 409 μg total Al/L for the amphipod. Addition of the EC20s to the USEPA chronic Al data set for pH 5.0 to &lt;6.5 would rank the mussel (</span><i>L. siliquoidea</i><span>) as the fourth most sensitive species and the amphipod (</span><i>H. azteca</i><span>) as the fifth most sensitive species, indicating the 2 species were sensitive to Al in chronic exposures. The USEPA‐proposed acute and chronic WQC for Al would adequately protect the mussel and amphipod tested; however, inclusion of the chronic data from the present study and recalculation of the chronic criterion would likely lower the proposed chronic criterion.<span>&nbsp;</span></span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3850","usgsCitation":"Wang, N., Ivey, C.D., Brunson, E., Cleveland, D.M., Ingersoll, C.G., Stubblefield, W., and Cardwell, A.S., 2018, Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures: Environmental Toxicology and Chemistry, v. 37, no. 1, p. 61-69, https://doi.org/10.1002/etc.3850.","productDescription":"9 p.","startPage":"61","endPage":"69","ipdsId":"IP-082948","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":352978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-05","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc265","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunson, Eric L. 0000-0001-6624-0902 elbrunson@usgs.gov","orcid":"https://orcid.org/0000-0001-6624-0902","contributorId":3282,"corporation":false,"usgs":true,"family":"Brunson","given":"Eric L.","email":"elbrunson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":726906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubblefield, William A.","contributorId":201762,"corporation":false,"usgs":false,"family":"Stubblefield","given":"William A.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":726908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardwell, Allison S.","contributorId":201763,"corporation":false,"usgs":false,"family":"Cardwell","given":"Allison","email":"","middleInitial":"S.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":726909,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195950,"text":"70195950 - 2018 - The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T09:52:05","indexId":"70195950","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The size, distribution, and mobility of landslides caused by the 2015 M<sub>w</sub>7.8 Gorkha earthquake, Nepal","title":"The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","docAbstract":"<p><span>Coseismic landslides pose immediate and prolonged hazards to mountainous communities, and provide a rare opportunity to study the effect of large earthquakes on erosion and sediment budgets. By mapping landslides using high-resolution satellite imagery, we find that the 25 April 2015 M</span><sub>w</sub><span>7.8 Gorkha earthquake and aftershock sequence produced at least 25,000 landslides throughout the steep Himalayan Mountains in central Nepal. Despite early reports claiming lower than expected landslide activity, our results show that the total number, area, and volume of landslides associated with the Gorkha event are consistent with expectations, when compared to prior landslide-triggering earthquakes around the world. The extent of landsliding mimics the extent of fault rupture along the east-west trace of the Main Himalayan Thrust and increases eastward following the progression of rupture. In this event, maximum modeled Peak Ground Acceleration (PGA) and the steepest topographic slopes of the High Himalaya are not spatially coincident, so it is not surprising that landslide density correlates neither with PGA nor steepest slopes on their own. Instead, we find that the highest landslide density is located at the confluence of steep slopes, high mean annual precipitation, and proximity to the deepest part of the fault rupture from which 0.5–2</span><span>&nbsp;</span><span>Hz seismic energy originated. We suggest that landslide density was determined by a combination of earthquake source characteristics, slope distributions, and the influence of precipitation on rock strength via weathering and changes in vegetation cover. Determining the relative contribution of each factor will require further modeling and better constrained seismic parameters, both of which are likely to be developed in the coming few years as post-event studies evolve. Landslide mobility, in terms of the ratio of runout distance to fall height, is comparable to small volume landslides in other settings, and landslide volume-runout scaling is consistent with compilations of data on larger slope failures. In general, the size ratios of landslide source area to full landslide area are smaller than global averages, and hillslope length seems to largely control runout distance, which we propose reflects a topographic control on landslide mobility in this setting. We find that landslide size dictates runout distance and that more than half of the landslide debris was deposited in direct connection with stream channels. Connectivity, which is defined as the spatial proximity of landslides to fluvial channels, is greatest for larger landslides in the high-relief part of the High Himalaya. Although these failures are less abundant than those at lower elevations, they may have a disproportionate impact on sediment dynamics and cascading hazards, such as landslide reactivation by monsoon rainfall and landslide dams that lead to outburst floods. The overall high fluvial connectivity of coseismic landsliding in the Gorkha event suggests coupling between the earthquake cycle and sediment/geochemical budgets of fluvial systems in the Himalaya.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.01.030","usgsCitation":"Roback, K., Clark, M., West, A.J., Zekkos, D., , L., Gallen, S.F., Chamlagain, D., and Godt, J.W., 2018, The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal: Geomorphology, v. 301, p. 121-138, https://doi.org/10.1016/j.geomorph.2017.01.030.","productDescription":"18 p.","startPage":"121","endPage":"138","ipdsId":"IP-079061","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.01.030","text":"Publisher Index Page"},{"id":352354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.04541015625,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              26.43122806450644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"301","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc259","contributors":{"authors":[{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":730664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zekkos, Dimitrios","contributorId":200290,"corporation":false,"usgs":false,"family":"Zekkos","given":"Dimitrios","email":"","affiliations":[],"preferred":false,"id":730665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":730666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chamlagain, Deepak","contributorId":200291,"corporation":false,"usgs":false,"family":"Chamlagain","given":"Deepak","email":"","affiliations":[],"preferred":false,"id":730668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":730661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194660,"text":"70194660 - 2018 - Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","interactions":[],"lastModifiedDate":"2018-03-29T16:02:02","indexId":"70194660","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","docAbstract":"<p><span>A 1200 km-long transform plate boundary passes through southeastern Alaska and northwestern British Columbia and represents one of the most seismically active, but poorly understood continental margins of North America. Although most of the plate motion is&nbsp;accommodated by the right-lateral Queen Charlotte–Fairweather Fault (QCFF) System, which has produced at least six M</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span><span><span>7 earthquakes since 1920,&nbsp;seismic hazard ass<span><span>essments also include the Chatham&nbsp;Strait Fault (CSF) as a potentially active, 400 km-long strike slip fault </span>that cuts northward through southeastern Alaska, connecting with the Eastern Denali Fault. Nearly the entire length of the CSF is submerged beneath Chatham Strait and Lynn Canal and has never been systematically imaged using high-resolution marine geophysical approaches. In this study we present an integrated analysis of new marine&nbsp;seismic reflectiondata ac</span></span><span>quired across Lynn Canal and tectonic block modeling constrained by data from continuous and campaign GPS sites. Seismic profiles cross the CSF at twelve locations spanning ∼50 km of fault length; they reveal thick (up to 300 m) packages of glaciomarine sedimentary facies emplaced on an unconformity su</span></span><span><span>rface that formed during the<span> Last Glacial Maximum</span></span><span><span><span>&nbsp;</span>(LGM). Localized warping of post-LGM stratigraphy (∼13.9 kyr B.P. to present) appears to correlate with sediment drape on basement topography and current-controlled deposition. There is no evidence for an&nbsp;active fault along the axis of Lynn Canal in the seismic reflection data. Crustal block models constrained by GPS data allow, but do not require, a maximum&nbsp;slip rate o</span>f 2–3 mm/yr along the CSF; higher slip rates on the CSF result in significant misfit to GPS data in the surrounding region. Based on the combined marine geophysical and GPS observations, it is plausible that the CSF has not generated resolvable coseismic deformation in the last ∼13 ka and that the modern slip-rate is &lt;1 mm/yr. We propose that models for strain transfer between the QCFF and the Denali Fault, and seismic hazard maps in general, may need to be reevaluated.</span></span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.10.017","usgsCitation":"Brothers, D.S., Elliott, J.L., Conrad, J.E., Haeussler, P.J., and Kluesner, J.W., 2018, Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?: Earth and Planetary Science Letters, v. 481, p. 362-371, https://doi.org/10.1016/j.epsl.2017.10.017.","productDescription":"10 p.","startPage":"362","endPage":"371","ipdsId":"IP-081661","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.10.017","text":"Publisher Index Page"},{"id":352971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"481","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc267","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Julie L.","contributorId":201260,"corporation":false,"usgs":false,"family":"Elliott","given":"Julie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":724813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195292,"text":"70195292 - 2018 - Ecotypic variation in population dynamics of reintroduced bighorn sheep","interactions":[],"lastModifiedDate":"2018-03-29T16:55:30","indexId":"70195292","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Ecotypic variation in population dynamics of reintroduced bighorn sheep","docAbstract":"<p><span>Selection of bighorn sheep (</span><i>Ovis canadensis</i><span>) for translocation historically has been motivated by preservation of subspecific purity rather than by adaptation of source stocks to similar environments. Our objective was to estimate cause‐specific, annual, and age‐specific mortality of introduced bighorn sheep that originated at low elevations in southern British Columbia, Canada (BC ecotype), or in the Missouri River Breaks region of central Montana, USA (MT ecotype). In North Dakota, USA, mortality was similar and typically low for adult female bighorn sheep from Montana (0.09 ± 0.029 [SE]) and British Columbia (0.08 ± 0.017) during 2000–2016. Median life expectancy was 11 years for females that reached adulthood (2 yrs old); however, mortality accelerated with age and reached 86% by age 16. Mortalities resulted primarily from low rates of predation, disease, accidents, and unknown natural causes (&lt;0.04 [upper 90% CI]). Similar survival rates of female bighorn sheep from female bighorn sheep from British Columbia and Montana, coupled with greater recruitment of bighorn sheep from Montana, resulted in a greater projected rate of increase for the MT ecotype (</span><i>λ</i><span> = 1.21) than for the BC ecotype (1.02), and a more youthful age structure. These results support translocation of bighorn sheep from areas that are environmentally similar to areas that will be stocked. Potential benefits include more rapid population growth, greater resilience to and more rapid recovery from density‐independent losses, an increased possibility that rapidly growing populations will expand into adjacent habitat, increased hunter opportunity, increased connectivity among herds, and a more complete restoration of ecosystem processes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21381","usgsCitation":"Bleich, V.C., Sargeant, G.A., and Wiedmann, B.P., 2018, Ecotypic variation in population dynamics of reintroduced bighorn sheep: Journal of Wildlife Management, v. 82, no. 1, p. 8-18, https://doi.org/10.1002/jwmg.21381.","productDescription":"11 p.","startPage":"8","endPage":"18","ipdsId":"IP-082937","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21381","text":"Publisher Index Page"},{"id":352979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc263","contributors":{"authors":[{"text":"Bleich, Vernon C.","contributorId":202185,"corporation":false,"usgs":false,"family":"Bleich","given":"Vernon","email":"","middleInitial":"C.","affiliations":[{"id":36362,"text":"Univ of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":727768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargeant, Glen A. 0000-0003-3845-8503 gsargeant@usgs.gov","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":1301,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen","email":"gsargeant@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiedmann, Brett P.","contributorId":202186,"corporation":false,"usgs":false,"family":"Wiedmann","given":"Brett","email":"","middleInitial":"P.","affiliations":[{"id":36363,"text":"ND Game and Fish Dept","active":true,"usgs":false}],"preferred":false,"id":727769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195125,"text":"70195125 - 2018 - Rapid colonization of a Hawaiian restoration forest by a diverse avian community","interactions":[],"lastModifiedDate":"2018-02-07T10:53:49","indexId":"70195125","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid colonization of a Hawaiian restoration forest by a diverse avian community","docAbstract":"<p><span>Deforestation of tropical forests has led to widespread loss and extirpation of forest bird species around the world, including the Hawaiian Islands which have experienced a dramatic loss of forests over the last 200–800 years. Given the important role birds play in forest ecosystem functions via seed dispersal and pollination, a bird community's response to forest restoration is an important measure of the success of such conservation actions. We evaluated the bird response to reforestation at an important bird sanctuary, Hakalau Forest National Wildlife Refuge, Hawai′i Island, using 26 years of bird count data. We show that most species from within the diverse avian community increased significantly, but species colonized the restoration forest at different rates. Distance from intact forest and time since restoration were both important predictors of colonization rate, interacting such that for most species it took more time to colonize areas farther from the intact forest. In addition, both forest cover and understory diversity helped to explain bird densities, but the effect varied among species, suggesting that different habitat requirements may help drive variation in colonization rates. This article provides the first detailed evaluation of how a diverse community of birds has responded to one of the largest, ongoing reforestation projects in Hawai′i.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12540","usgsCitation":"Paxton, E., Yelenik, S.G., Borneman, T.E., Rose, E., Camp, R., and Kendall, S.J., 2018, Rapid colonization of a Hawaiian restoration forest by a diverse avian community: Restoration Ecology, v. 26, no. 1, p. 165-173, https://doi.org/10.1111/rec.12540.","productDescription":"9 p.","startPage":"165","endPage":"173","ipdsId":"IP-079984","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":351227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai′i","otherGeospatial":"Hakalau Forest National Wildlife Refuge","volume":"26","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5a7c1e76e4b00f54eb2292fa","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":727061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":727062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borneman, Tracy E.","contributorId":145698,"corporation":false,"usgs":false,"family":"Borneman","given":"Tracy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Eli 0000-0003-0958-9491 etrose@usgs.gov","orcid":"https://orcid.org/0000-0003-0958-9491","contributorId":194190,"corporation":false,"usgs":true,"family":"Rose","given":"Eli","email":"etrose@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":727064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J.","contributorId":194671,"corporation":false,"usgs":false,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":727065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727066,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195645,"text":"70195645 - 2018 - Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system","interactions":[],"lastModifiedDate":"2018-02-26T11:02:33","indexId":"70195645","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system","docAbstract":"<p><span>Egg deposition and use of restored spawning substrates by lithophilic fishes (e.g., Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span>, Lake Whitefish<span>&nbsp;</span></span><i>Coregonus clupeaformis</i><span>, and Walleye<span>&nbsp;</span></span><i>Sander vitreus</i><span>) were assessed throughout the St. Clair–Detroit River system from 2005 to 2016. Bayesian models were used to quantify egg abundance and presence/absence relative to site-specific variables (e.g., depth, velocity, and artificial spawning reef presence) and temperature to evaluate fish use of restored artificial spawning reefs and assess patterns in egg deposition. Lake Whitefish and Walleye egg abundance, probability of detection, and probability of occupancy were assessed with detection-adjusted methods; Lake Sturgeon egg abundance and probability of occurrence were assessed using delta-lognormal methods. The models indicated that the probability of Walleye eggs occupying a site increased with water velocity and that the rate of increase decreased with depth, whereas Lake Whitefish egg occupancy was not correlated with any of the attributes considered. Egg deposition by Lake Whitefish and Walleyes was greater at sites with high water velocities and was lower over artificial spawning reefs. Lake Sturgeon eggs were collected least frequently but were more likely to be collected over artificial spawning reefs and in greater abundances than elsewhere. Detection-adjusted egg abundances were not greater over artificial spawning reefs, indicating that these projects may not directly benefit spawning Walleyes and Lake Whitefish. However, 98% of the Lake Sturgeon eggs observed were collected over artificial spawning reefs, supporting the hypothesis that the reefs provided spawning sites for Lake Sturgeon and could mitigate historic losses of Lake Sturgeon spawning habitat.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10016","usgsCitation":"Fischer, J.L., Pritt, J.J., Roseman, E.F., Prichard, C.G., Craig, J.M., Kennedy, G.W., and Manny, B.A., 2018, Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system: Transactions of the American Fisheries Society, v. 147, no. 1, p. 79-93, https://doi.org/10.1002/tafs.10016.","productDescription":"15 p.","startPage":"79","endPage":"93","ipdsId":"IP-069920","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":351999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Detroit River, St. Clair River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.232421875,\n              42.02481360781777\n            ],\n            [\n              -82.89459228515624,\n              42.02481360781777\n            ],\n            [\n              -82.89459228515624,\n              42.374778361114195\n            ],\n            [\n              -83.232421875,\n              42.374778361114195\n            ],\n            [\n              -83.232421875,\n              42.02481360781777\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": 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jfischer@usgs.gov","orcid":"https://orcid.org/0000-0001-7226-6500","contributorId":149532,"corporation":false,"usgs":true,"family":"Fischer","given":"Jason","email":"jfischer@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":729540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pritt, Jeremy J. jpritt@usgs.gov","contributorId":5841,"corporation":false,"usgs":true,"family":"Pritt","given":"Jeremy","email":"jpritt@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":729541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prichard, Carson G. 0000-0003-1588-6652","orcid":"https://orcid.org/0000-0003-1588-6652","contributorId":202781,"corporation":false,"usgs":true,"family":"Prichard","given":"Carson","email":"","middleInitial":"G.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig, Jaquelyn M. 0000-0002-7601-8616 jcraig@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-8616","contributorId":190252,"corporation":false,"usgs":true,"family":"Craig","given":"Jaquelyn","email":"jcraig@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729545,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196522,"text":"70196522 - 2018 - Diel predator activity drives a dynamic landscape of fear","interactions":[],"lastModifiedDate":"2018-11-14T10:00:50","indexId":"70196522","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Diel predator activity drives a dynamic landscape of fear","docAbstract":"<p><span>A “landscape of fear” (LOF) is a map that describes continuous spatial variation in an animal's perception of predation risk. The relief on this map reflects, for example, places that an animal avoids to minimize risk. Although the LOF concept is a potentially unifying theme in ecology that is often invoked to explain the ecological and conservation significance of fear, little is known about the daily dynamics of an LOF. Despite theory and data to the contrary, investigators often assume, implicitly or explicitly, that an LOF is a static consequence of a predator's mere presence within an ecosystem. We tested the prediction that an LOF in a large‐scale, free‐living system is a highly dynamic map with “peaks” and “valleys” that alternate across the diel (24‐h) cycle in response to daily lulls in predator activity. We did so with extensive data from the case study of Yellowstone elk (</span><i>Cervus elaphus</i><span>) and wolves (</span><i>Canis lupus</i><span>) that was the original basis for the LOF concept. We quantified the elk LOF, defined here as spatial allocation of time away from risky places and times, across nearly 1,000‐km</span><sup>2</sup><span><span>&nbsp;</span>of northern Yellowstone National Park and found that it fluctuated with the crepuscular activity pattern of wolves, enabling elk to use risky places during wolf downtimes. This may help explain evidence that wolf predation risk has no effect on elk stress levels, body condition, pregnancy, or herbivory. The ability of free‐living animals to adaptively allocate habitat use across periods of high and low predator activity within the diel cycle is an underappreciated aspect of animal behavior that helps explain why strong antipredator responses may trigger weak ecological effects, and why an LOF may have less conceptual and practical importance than direct killing.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1313","usgsCitation":"Kohl, M.T., Stahler, D.R., Metz, M.C., Forester, J.D., Kauffman, M., Varley, N., White, P., Smith, D.W., and MacNulty, D.R., 2018, Diel predator activity drives a dynamic landscape of fear: Ecological Monographs, v. 88, no. 4, p. 638-652, https://doi.org/10.1002/ecm.1313.","productDescription":"15 p.","startPage":"638","endPage":"652","ipdsId":"IP-065975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1313","text":"Publisher Index Page"},{"id":353404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","volume":"88","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-22","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c0","contributors":{"authors":[{"text":"Kohl, Michel T.","contributorId":204214,"corporation":false,"usgs":false,"family":"Kohl","given":"Michel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":733394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metz, Matthew C.","contributorId":172854,"corporation":false,"usgs":false,"family":"Metz","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":27103,"text":"Yellowston Wolf Project","active":true,"usgs":false}],"preferred":false,"id":733396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forester, James D.","contributorId":194334,"corporation":false,"usgs":false,"family":"Forester","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":733397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":733387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Varley, Nathan","contributorId":204215,"corporation":false,"usgs":false,"family":"Varley","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":733398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":733399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":733400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacNulty, Daniel R.","contributorId":64069,"corporation":false,"usgs":true,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733401,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195617,"text":"70195617 - 2018 - Quantifying postfire aeolian sediment transport using rare earth element tracers","interactions":[],"lastModifiedDate":"2018-02-26T12:33:55","indexId":"70195617","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying postfire aeolian sediment transport using rare earth element tracers","docAbstract":"<p><span>Grasslands, which provide fundamental ecosystem services in many arid and semiarid regions of the world, are undergoing rapid increases in fire activity and are highly susceptible to postfire-accelerated soil erosion by wind. A quantitative assessment of physical processes that integrates fire-wind erosion feedbacks is therefore needed relative to vegetation change, soil biogeochemical cycling, air quality, and landscape evolution. We investigated the applicability of a novel tracer technique—the use of multiple rare earth elements (REE)—to quantify soil transport by wind and to identify sources and sinks of wind-blown sediments in both burned and unburned shrub-grass transition zone in the Chihuahuan Desert, NM, USA. Results indicate that the horizontal mass flux of wind-borne sediment increased approximately threefold following the fire. The REE tracer analysis of wind-borne sediments shows that the source of the horizontal mass flux in the unburned site was derived from bare microsites (88.5%), while in the burned site it was primarily sourced from shrub (42.3%) and bare (39.1%) microsites. Vegetated microsites which were predominantly sinks of aeolian sediments in the unburned areas became sediment sources following the fire. The burned areas showed a spatial homogenization of sediment tracers, highlighting a potential negative feedback on landscape heterogeneity induced by shrub encroachment into grasslands. Though fires are known to increase aeolian sediment transport, accompanying changes in the sources and sinks of wind-borne sediments may influence biogeochemical cycling and land degradation dynamics. Furthermore, our experiment demonstrated that REEs can be used as reliable tracers for field-scale aeolian studies.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JG004284","usgsCitation":"Dukes, D., Gonzales, H.B., Ravi, S., Grandstaff, D.E., Van Pelt, R.S., Li, J., Wang, G., and Sankey, J.B., 2018, Quantifying postfire aeolian sediment transport using rare earth element tracers: Journal of Geophysical Research: Biogeosciences, v. 123, no. 1, p. 288-299, https://doi.org/10.1002/2017JG004284.","productDescription":"12 p.","startPage":"288","endPage":"299","ipdsId":"IP-083961","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004284","text":"Publisher Index Page"},{"id":352020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-31","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc25d","contributors":{"authors":[{"text":"Dukes, David","contributorId":202736,"corporation":false,"usgs":false,"family":"Dukes","given":"David","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grandstaff, David E.","contributorId":202739,"corporation":false,"usgs":false,"family":"Grandstaff","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":729423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Pelt, R. Scott","contributorId":195937,"corporation":false,"usgs":false,"family":"Van Pelt","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":729424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":729425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Guan","contributorId":202741,"corporation":false,"usgs":false,"family":"Wang","given":"Guan","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":729426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":729419,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195385,"text":"70195385 - 2018 - Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","interactions":[],"lastModifiedDate":"2018-02-13T12:28:43","indexId":"70195385","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","docAbstract":"<p><span>Species’ distributions will respond to climate change based on the relationship between local demographic processes and climate and how this relationship varies based on range position. A rarely tested demographic prediction is that populations at the extremes of a species’ climate envelope (e.g., populations in areas with the highest mean annual temperature) will be most sensitive to local shifts in climate (i.e., warming). We tested this prediction using a dynamic species distribution model linking demographic rates to variation in temperature and precipitation for wood frogs (</span><i>Lithobates sylvaticus</i><span>) in North America. Using long-term monitoring data from 746 populations in 27 study areas, we determined how climatic variation affected population growth rates and how these relationships varied with respect to long-term climate. Some models supported the predicted pattern, with negative effects of extreme summer temperatures in hotter areas and positive effects on recruitment for summer water availability in drier areas. We also found evidence of interacting temperature and precipitation influencing population size, such as extreme heat having less of a negative effect in wetter areas. Other results were contrary to predictions, such as positive effects of summer water availability in wetter parts of the range and positive responses to winter warming especially in milder areas. In general, we found wood frogs were more sensitive to changes in temperature or temperature interacting with precipitation than to changes in precipitation alone. Our results suggest that sensitivity to changes in climate cannot be predicted simply by knowing locations within the species’ climate envelope. Many climate processes did not affect population growth rates in the predicted direction based on range position. Processes such as species-interactions, local adaptation, and interactions with the physical landscape likely affect the responses we observed. Our work highlights the need to measure demographic responses to changing climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13817","usgsCitation":"Amburgey, S.M., Miller, D.A., Grant, E.H., Rittenhouse, T., Benard, M.F., Richardson, J.L., Urban, M.C., Hughson, W., Brand, A.B., Davis, C.J., Hardin, C.R., Paton, P.W., Raithel, C.J., Relyea, R.A., Scott, A.F., Skelly, D.K., Skidds, D., Smith, C.K., and Werner, E.E., 2018, Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation: Global Change Biology, v. 24, no. 1, p. 439-454, https://doi.org/10.1111/gcb.13817.","productDescription":"16 p.","startPage":"439","endPage":"454","ipdsId":"IP-069212","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":490050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/683","text":"External Repository"},{"id":351524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-19","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc261","contributors":{"authors":[{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":728311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":728312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":728310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenhouse, Tracy A. G.","contributorId":169672,"corporation":false,"usgs":false,"family":"Rittenhouse","given":"Tracy A. G.","affiliations":[],"preferred":false,"id":728313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benard, Michael F.","contributorId":202395,"corporation":false,"usgs":false,"family":"Benard","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":36409,"text":"Department of Biology, Case Western Reserve University, Cleveland, OH, USA","active":true,"usgs":false}],"preferred":false,"id":728314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, Jonathan L.","contributorId":200560,"corporation":false,"usgs":false,"family":"Richardson","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urban, Mark C.","contributorId":202396,"corporation":false,"usgs":false,"family":"Urban","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36410,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA","active":true,"usgs":false}],"preferred":false,"id":728316,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hughson, Ward","contributorId":202397,"corporation":false,"usgs":false,"family":"Hughson","given":"Ward","email":"","affiliations":[{"id":36411,"text":"Parks Canada, Jasper, AB, Canada","active":true,"usgs":false}],"preferred":false,"id":728317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728318,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davis, Christopher J.","contributorId":202398,"corporation":false,"usgs":false,"family":"Davis","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36412,"text":"Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":728319,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hardin, Carmen R.","contributorId":202399,"corporation":false,"usgs":false,"family":"Hardin","given":"Carmen","email":"","middleInitial":"R.","affiliations":[{"id":36413,"text":"Forestry Division, Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":728320,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Paton, Peter W. C.","contributorId":146616,"corporation":false,"usgs":false,"family":"Paton","given":"Peter","email":"","middleInitial":"W. C.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":728321,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raithel, Christopher J.","contributorId":202400,"corporation":false,"usgs":false,"family":"Raithel","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36414,"text":"Division of Fish and Wildlife, Rhode Island Department of Environmental Management, West Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728322,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Relyea, Rick A.","contributorId":202401,"corporation":false,"usgs":false,"family":"Relyea","given":"Rick","email":"","middleInitial":"A.","affiliations":[{"id":36415,"text":"Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA","active":true,"usgs":false}],"preferred":false,"id":728323,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scott, A. Floyd","contributorId":202402,"corporation":false,"usgs":false,"family":"Scott","given":"A.","email":"","middleInitial":"Floyd","affiliations":[{"id":36416,"text":"Department of Biology, Austin Peay State University, Clarksville, TN, USA","active":true,"usgs":false}],"preferred":false,"id":728324,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Skelly, David K.","contributorId":181900,"corporation":false,"usgs":false,"family":"Skelly","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":728325,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Skidds, Dennis E.","contributorId":202403,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis E.","affiliations":[{"id":36417,"text":"Northeast Coastal and Barrier Network, National Parks Service, Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728326,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, Charles K.","contributorId":202404,"corporation":false,"usgs":false,"family":"Smith","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":36418,"text":"Department of Biology, High Point University, High Point, NC, USA","active":true,"usgs":false}],"preferred":false,"id":728327,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Werner, Earl E.","contributorId":202405,"corporation":false,"usgs":false,"family":"Werner","given":"Earl","email":"","middleInitial":"E.","affiliations":[{"id":36419,"text":"Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA","active":true,"usgs":false}],"preferred":false,"id":728328,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70195150,"text":"70195150 - 2018 - Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling","interactions":[],"lastModifiedDate":"2018-02-08T14:46:15","indexId":"70195150","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling","docAbstract":"<p><span>Including stakeholders in environmental model building and analysis is an increasingly popular approach to understanding ecological change. This is because stakeholders often hold valuable knowledge about socio-environmental dynamics and collaborative forms of modeling produce important boundary objects used to collectively reason about environmental problems. Although the number of participatory modeling (PM) case studies and the number of researchers adopting these approaches has grown in recent years, the lack of standardized reporting and limited reproducibility have prevented PM's establishment and advancement as a cohesive field of study. We suggest a four-dimensional framework (4P) that includes reporting on dimensions of (1) the Purpose for selecting a PM approach (the&nbsp;</span><i>why</i><span>); (2) the Process by which the public was involved in model building or evaluation (the<span>&nbsp;</span></span><i>how</i><span>); (3) the Partnerships formed (the<span>&nbsp;</span></span><i>who</i><span>); and (4) the Products that resulted from these efforts (the<span>&nbsp;</span></span><i>what</i><span>). We highlight four case studies that use common PM software-based approaches (fuzzy cognitive mapping, agent-based modeling, system dynamics, and participatory geospatial modeling) to understand human–environment interactions and the consequences of ecological changes, including bushmeat hunting in Tanzania and Cameroon, agricultural production and deforestation in Zambia, and groundwater management in India. We demonstrate how standardizing communication about PM case studies can lead to innovation and new insights about model-based reasoning in support of ecological policy development. We suggest that our 4P framework and reporting approach provides a way for new hypotheses to be identified and tested in the growing field of PM.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.1627","usgsCitation":"Gray, S., Voinov, A., Paolisso, M., Jordan, R., BenDor, T., Bommel, P., Glynn, P.D., Hedelin, B., Hubacek, K., Introne, J., Kolagani, N., Laursen, B., Prell, C., Schmitt-Olabisi, L., Singer, A., Sterling, E.J., and Zellner, M., 2018, Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling: Ecological Applications, v. 28, no. 1, p. 46-61, https://doi.org/10.1002/eap.1627.","productDescription":"16 p.","startPage":"46","endPage":"61","ipdsId":"IP-077094","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469127,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.1627","text":"External Repository"},{"id":351378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-08","publicationStatus":"PW","scienceBaseUri":"5a7d6ffde4b00f54eb2441a7","contributors":{"authors":[{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":727186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":727187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paolisso, Michael","contributorId":201913,"corporation":false,"usgs":false,"family":"Paolisso","given":"Michael","email":"","affiliations":[{"id":36291,"text":"University of Maryland, Department of Anthropology, College Park, Maryland 20742 USA","active":true,"usgs":false}],"preferred":false,"id":727188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":727189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"BenDor, Todd","contributorId":201915,"corporation":false,"usgs":false,"family":"BenDor","given":"Todd","email":"","affiliations":[{"id":36293,"text":"University of North Carolina at Chapel Hill, Department of City and Regional Planning, New East Building, CB #3140, Chapel Hill, NC 27599","active":true,"usgs":false}],"preferred":false,"id":727190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bommel, Pierre","contributorId":201916,"corporation":false,"usgs":false,"family":"Bommel","given":"Pierre","email":"","affiliations":[{"id":36294,"text":"CIRAD, Green Research Unit, Montpellier, France & University of Costa Rica, San José, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":727191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - 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Peoria St., MC 348, Chicago, IL 60607","active":true,"usgs":false}],"preferred":false,"id":727201,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70195359,"text":"70195359 - 2018 - Adding value to monitoring efforts with environmental DNA","interactions":[],"lastModifiedDate":"2020-05-27T14:46:27.632533","indexId":"70195359","displayToPublicDate":"2017-12-31T09:46:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5954,"text":"Wildlife Society Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Adding value to monitoring efforts with environmental DNA","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wildlife Society","usgsCitation":"Sepulveda, A.J., Ray, A.M., and McKee, A.M., 2018, Adding value to monitoring efforts with environmental DNA: Wildlife Society Newsletter, v. 7, no. 2, p. 2-7.","productDescription":"3 p.","startPage":"2","endPage":"7","ipdsId":"IP-093266","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":375079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.4892578125,\n              42.09007006868398\n            ],\n            [\n              -108.78662109375,\n              42.09007006868398\n            ],\n            [\n              -108.78662109375,\n              45.232349197513095\n            ],\n            [\n              -111.4892578125,\n              45.232349197513095\n            ],\n            [\n              -111.4892578125,\n              42.09007006868398\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":728122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":728123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":728124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195634,"text":"70195634 - 2018 - Serologic surveillance of wild and pen-reared ring-necked pheasants (Phasianus colchicus) as a method of understanding disease reservoirs","interactions":[],"lastModifiedDate":"2018-04-09T11:59:27","indexId":"70195634","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Serologic surveillance of wild and pen-reared ring-necked pheasants (<i>Phasianus colchicus</i>) as a method of understanding disease reservoirs","title":"Serologic surveillance of wild and pen-reared ring-necked pheasants (Phasianus colchicus) as a method of understanding disease reservoirs","docAbstract":"<p>We investigated exposure to infectious diseases in wild (<i>n</i>=33) and pen-reared (<i>n</i>=12) Ring-necked Pheasants (<i>Phasianus colchicus</i>) in the Central Valley of California during 2014 and 2015. Serologic tests were positive for antibodies against hemorrhagic enteritis (HE), infectious bursal disease (IBD), and Newcastle disease (ND) viruses in both wild and pen-reared pheasants.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-08-191","usgsCitation":"Dwight, I., Coates, P.S., Stoute, S.T., Senties-Cue, C.G., Gharpure, R.V., and Pitesky, M.E., 2018, Serologic surveillance of wild and pen-reared ring-necked pheasants (Phasianus colchicus) as a method of understanding disease reservoirs: Journal of Wildlife Diseases, v. 54, no. 2, https://doi.org/10.7589/2017-08-191.","productDescription":"5 p.","endPage":"414","numberOfPages":"418","ipdsId":"IP-089997","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":351984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","volume":"54","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc26d","contributors":{"authors":[{"text":"Dwight, Ian 0000-0002-8393-5391 idwight@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-5391","contributorId":192077,"corporation":false,"usgs":true,"family":"Dwight","given":"Ian","email":"idwight@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":729501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":729500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoute, Simone T.","contributorId":202770,"corporation":false,"usgs":false,"family":"Stoute","given":"Simone","email":"","middleInitial":"T.","affiliations":[{"id":36526,"text":"California Animal Health and Food Safety Laboratory","active":true,"usgs":false}],"preferred":false,"id":729502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senties-Cue, C. Gabriel","contributorId":202771,"corporation":false,"usgs":false,"family":"Senties-Cue","given":"C.","email":"","middleInitial":"Gabriel","affiliations":[{"id":36526,"text":"California Animal Health and Food Safety Laboratory","active":true,"usgs":false}],"preferred":false,"id":729503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gharpure, Radhika V.","contributorId":202772,"corporation":false,"usgs":false,"family":"Gharpure","given":"Radhika","email":"","middleInitial":"V.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":729504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, Maurice E.","contributorId":176920,"corporation":false,"usgs":false,"family":"Pitesky","given":"Maurice","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":729505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197072,"text":"70197072 - 2018 - Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people","interactions":[],"lastModifiedDate":"2018-05-18T10:08:30","indexId":"70197072","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people","docAbstract":"The North American Waterfowl Management Plan (NAWMP) has established a model for wildlife conservation planning over the last 3 decades. Management at a continental scale, leveraged funding, regional partnerships, and a strong science basis have been notable features. Periodic updates to the NAWMP occurred since implementation in 1986; however, a fundamental revision was accomplished in 2012 after extensive stakeholder engagement. An explicit fundamental goal for waterfowl conservation supporters was added in 2012, complementing existing goals for sustainable populations and sufficient habitat found in previous updates. We present a synopsis of progress toward implementation of the 2012 NAWMP and challenge the waterfowl management community to continue with meaningful steps toward achieving NAWMP goals. Adding goals and objectives for supporters increases potential relevance of NAWMP; however, it also presents a level of complexity that was not entirely anticipated. Additionally, the 2012 NAWMP recognized that traditional support from waterfowl hunters alone will not be sufficient to support waterfowl conservation in the future. Simultaneous consideration of multiple objectives, although implicit before, now is a specific focus for habitat and harvest management affecting hunters and other users of the waterfowl resource. The waterfowl management community is faced with revisiting objectives and management actions related to harvest regulations, landscape priorities, habitat conservation, and public engagement to garner broader support. These persistent management challenges are tangible and relevant candidates for greater integration. Ultimately, the structures and processes supporting waterfowl management also will need to be reconsidered.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21391","usgsCitation":"Humburg, D.D., Anderson, M.G., Brasher, M., Carter, M.F., Eadie, J.M., Fulton, D.C., Johnson, F.A., Runge, M.C., and Vrtiska, M.P., 2018, Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people: Journal of Wildlife Management, v. 82, no. 2, p. 275-286, https://doi.org/10.1002/jwmg.21391.","productDescription":"12 p.","startPage":"275","endPage":"286","ipdsId":"IP-084218","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc26b","contributors":{"authors":[{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":735683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michael G.","contributorId":202239,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36382,"text":"Institute For Wetland And Waterfowl Research, Ducks Unlimited  Canada, Stonewall, Mb R0c 2z0, Canada","active":true,"usgs":false}],"preferred":false,"id":735684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":17139,"corporation":false,"usgs":true,"family":"Brasher","given":"Michael G.","affiliations":[],"preferred":false,"id":735685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Michael F.","contributorId":204989,"corporation":false,"usgs":false,"family":"Carter","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":735686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":735687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":735689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":735690,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70197074,"text":"70197074 - 2018 - Long-Term Movement and Estimated Age of a Paddlefish (Polyodon spathula) in the Arkansas River Basin of Oklahoma","interactions":[],"lastModifiedDate":"2018-05-17T13:52:17","indexId":"70197074","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-Term Movement and Estimated Age of a Paddlefish (<i>Polyodon spathula</i>) in the Arkansas River Basin of Oklahoma","title":"Long-Term Movement and Estimated Age of a Paddlefish (Polyodon spathula) in the Arkansas River Basin of Oklahoma","docAbstract":"<p><span>We report the age and distance moved for an individual paddlefish (</span><i>Polyodon spathula</i><span>) that was tagged March 1998 in the Cimarron River Arm of Keystone Lake, Oklahoma, and snagged by an angler in April 2016 downstream of Eufaula Dam, Oklahoma. The fish was part of a cohort spawned in 1995. At the time of initial capture, the fish measured 795 mm eye–fork length, was estimated to be 3 y old, and 18 y had elapsed before its recapture by an angler in 2016, indicating this fish was 21 y old at recapture. Although paddlefish as old as 27 have been estimated in the Grand River basin of Oklahoma, this is the oldest fish known in the Arkansas River basin of Oklahoma. At the place of its recapture, this fish would have traveled approximately 235 km, passing downstream through three dams before moving upstream to Eufaula Dam.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-62.3.212","usgsCitation":"Long, J.M., 2018, Long-Term Movement and Estimated Age of a Paddlefish (Polyodon spathula) in the Arkansas River Basin of Oklahoma: Southwestern Naturalist, v. 62, no. 3, p. 212-215, https://doi.org/10.1894/0038-4909-62.3.212.","productDescription":"4 p.","startPage":"212","endPage":"215","ipdsId":"IP-085098","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Arkansas River basin","volume":"62","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc269","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735487,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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